ArticleScientific reports2018
Quasi-Periodic Patterns of Neural Activity improve Classification of Alzheimer's Disease in Mice.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 51 citations in OpenAlex.
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- CEST MRI reveals nicotine-induced alterations in glutamate-associated molecular connectivity in the mouse brain.Frontiers in neuroscience · 2026Article
- Spatiotemporal Network Dynamics Reveal Alzheimer's Disease Progression.bioRxiv : the preprint server for biology · 2025Article
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- Neurovascular coupling: a review of spontaneous neocortical dynamics linking neuronal activity to hemodynamics and what we have learned from the rodent brain.Journal of neurophysiology · 2025Review
- QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity.bioRxiv : the preprint server for biology · 2025Article
- Altered functional connectivity and spatiotemporal dynamics in individuals with central disorders of hypersomnolence.Frontiers in neuroscience · 2025Article
- Evolution of aberrant brain-wide spatiotemporal dynamics of resting-state networks in a Huntington's disease mouse model.Clinical and translational medicine · 2024Article
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- Variation in the Distribution of Large-scale Spatiotemporal Patterns of Activity Across Brain States.bioRxiv : the preprint server for biology · 2024Article
- Longitudinal monitoring of the mouse brain reveals heterogenous network trajectories during aging.Communications biology · 2024Article
- Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease.Frontiers in human neuroscience · 2024Article
- Variation in the distribution of large-scale spatiotemporal patterns of activity across brain states.Frontiers in systems neuroscience · 2024Article
- Longitudinal investigation of changes in resting-state co-activation patterns and their predictive ability in the zQ175 DN mouse model of Huntington's disease.Scientific reports · 2023Article
- Intrinsic macroscale oscillatory modes driving long range functional connectivity in female rat brains detected by ultrafast fMRI.Nature communications · 2023Article
- The interaction between random and systematic visual stimulation and infraslow quasiperiodic spatiotemporal patterns of whole brain activity.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Altered basal forebrain function during whole-brain network activity at pre- and early-plaque stages of Alzheimer's disease in TgF344-AD rats.Alzheimer's research & therapy · 2022Article
- Functional Connectivity of the Brain Across Rodents and Humans.Frontiers in neuroscience · 2022Review
- Functional network antagonism and consciousness.Network neuroscience (Cambridge, Mass.) · 2022Article
- Comparison of Resting-State Functional MRI Methods for Characterizing Brain Dynamics.Frontiers in neural circuits · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
Abstract
Resting state (rs)fMRI allows measurement of brain functional connectivity and has identified default mode (DMN) and task positive (TPN) network disruptions as promising biomarkers for Alzheimer's disease (AD). Quasi-periodic patterns (QPPs) of neural activity describe recurring spatiotemporal patterns that display DMN with TPN anti-correlation. We reasoned that QPPs could provide new insights into AD network dysfunction and improve disease diagnosis. We therefore used rsfMRI to investigate QPPs in old TG2576 mice, a model of amyloidosis, and age-matched controls. Multiple QPPs were determined and compared across groups. Using linear regression, we removed their contribution from the functional scans and assessed how they reflected functional connectivity. Lastly, we used elastic net regression to determine if QPPs improved disease classification. We present three prominent findings: (1) Compared to controls, TG2576 mice were marked by opposing neural dynamics in which DMN areas were anti-correlated and displayed diminished anti-correlation with the TPN. (2) QPPs reflected lowered DMN functional connectivity in TG2576 mice and revealed significantly decreased DMN-TPN anti-correlations. (3) QPP-derived measures significantly improved classification compared to conventional functional connectivity measures. Altogether, our findings provide insight into the neural dynamics of aberrant network connectivity in AD and indicate that QPPs might serve as a translational diagnostic tool.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.